Overview

Brought to you by YData

Dataset statistics

Number of variables	24
Number of observations	500000
Missing cells	2252884
Missing cells (%)	18.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	616.5 MiB
Average record size in memory	1.3 KiB

Variable types

Numeric	4
Categorical	10
Text	4
DateTime	6

Alerts

`question_language` has constant value "eng"	Constant
`question_user_type` has constant value "farmer"	Constant
`response_user_type` has constant value "farmer"	Constant
`question_id` is highly overall correlated with `question_user_id` and 2 other fields	High correlation
`question_user_country_code` is highly overall correlated with `response_user_country_code`	High correlation
`question_user_id` is highly overall correlated with `question_id` and 1 other fields	High correlation
`response_id` is highly overall correlated with `question_id` and 2 other fields	High correlation
`response_user_country_code` is highly overall correlated with `question_user_country_code`	High correlation
`response_user_id` is highly overall correlated with `question_id` and 1 other fields	High correlation
`response_language` is highly imbalanced (88.8%)	Imbalance
`question_topic` has 67186 (13.4%) missing values	Missing
`response_topic` has 328854 (65.8%) missing values	Missing
`question_user_gender` has 480094 (96.0%) missing values	Missing
`question_user_dob` has 462710 (92.5%) missing values	Missing
`response_user_gender` has 466152 (93.2%) missing values	Missing
`response_user_dob` has 447888 (89.6%) missing values	Missing

Reproduction

Analysis started	2025-11-06 14:26:33.238249
Analysis finished	2025-11-06 14:27:54.582144
Duration	1 minute and 21.34 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

question_id
Real number (ℝ)

High correlation

Distinct	428151
Distinct (%)	85.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27264997

Minimum	3849153
Maximum	59254650
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	3849153
5-th percentile	6469463.8
Q1	14135594
median	23611586
Q3	40509218
95-th percentile	56091867
Maximum	59254650
Range	55405497
Interquartile range (IQR)	26373624

Descriptive statistics

Standard deviation	15686339
Coefficient of variation (CV)	0.57532881
Kurtosis	-1.0098993
Mean	27264997
Median Absolute Deviation (MAD)	11914470
Skewness	0.4396718
Sum	1.3632499 × 10¹³
Variance	2.4606122 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
56318162	136	< 0.1%
59076944	90	< 0.1%
43001179	83	< 0.1%
42820499	83	< 0.1%
59013285	81	< 0.1%
51577343	77	< 0.1%
31613688	66	< 0.1%
59087188	63	< 0.1%
58689878	50	< 0.1%
42634493	47	< 0.1%
Other values (428141)	499224	99.8%

Value	Count	Frequency (%)
3849153	1	< 0.1%
3849275	1	< 0.1%
3849894	1	< 0.1%
3851330	1	< 0.1%
3851563	1	< 0.1%
3852433	1	< 0.1%
3852458	1	< 0.1%
3852789	1	< 0.1%
3853271	2	< 0.1%
3853305	1	< 0.1%

Value	Count	Frequency (%)
59254650	1	< 0.1%
59254196	1	< 0.1%
59254047	1	< 0.1%
59253961	1	< 0.1%
59253791	1	< 0.1%
59253766	1	< 0.1%
59253374	1	< 0.1%
59253116	1	< 0.1%
59253035	1	< 0.1%
59252297	1	< 0.1%

question_user_id
Real number (ℝ)

High correlation

Distinct	186897
Distinct (%)	37.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1561144.6

Minimum	7
Maximum	3826307
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	7
5-th percentile	159020
Q1	868627
median	1337141
Q3	2217046
95-th percentile	3363425
Maximum	3826307
Range	3826300
Interquartile range (IQR)	1348419

Descriptive statistics

Standard deviation	970567.66
Coefficient of variation (CV)	0.62170261
Kurtosis	-0.71110304
Mean	1561144.6
Median Absolute Deviation (MAD)	633650
Skewness	0.49109575
Sum	7.8057229 × 10¹¹
Variance	9.4200157 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
730226	978	0.2%
3413249	861	0.2%
3199006	797	0.2%
853100	570	0.1%
1061058	554	0.1%
1206146	425	0.1%
679197	415	0.1%
607370	396	0.1%
3065420	386	0.1%
793767	383	0.1%
Other values (186887)	494235	98.8%

Value	Count	Frequency (%)
7	1	< 0.1%
19	2	< 0.1%
20	2	< 0.1%
26	1	< 0.1%
29	5	< 0.1%
88	5	< 0.1%
95	1	< 0.1%
122	2	< 0.1%
161	1	< 0.1%
173	1	< 0.1%

Value	Count	Frequency (%)
3826307	1	< 0.1%
3824546	2	< 0.1%
3824032	1	< 0.1%
3824014	1	< 0.1%
3822981	1	< 0.1%
3819473	1	< 0.1%
3818059	1	< 0.1%
3815627	1	< 0.1%
3814568	1	< 0.1%
3812531	4	< 0.1%

question_language
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.4 MiB

eng	500000

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1500000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	eng
2nd row	eng
3rd row	eng
4th row	eng
5th row	eng

Common Values

Value	Count	Frequency (%)
eng	500000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
eng	500000	100.0%

Most occurring characters

Value	Count	Frequency (%)
e	500000	33.3%
n	500000	33.3%
g	500000	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1500000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	500000	33.3%
n	500000	33.3%
g	500000	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1500000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	500000	33.3%
n	500000	33.3%
g	500000	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1500000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	500000	33.3%
n	500000	33.3%
g	500000	33.3%

question_content
Text

Distinct	416521
Distinct (%)	83.3%
Missing	0
Missing (%)	0.0%
Memory size	59.4 MiB

Length

Max length	626
Median length	387
Mean length	59.075224
Min length	8

Characters and Unicode

Total characters	29537612
Distinct characters	139
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	358953 ?
Unique (%)	71.8%

Sample

1st row	Q What vaccine can I use for my two weeks poultry
2nd row	Do we have banana hybrid in Uganda
3rd row	Q hoW TO PLANT CABBAGE
4th row	Dononzio asks: my cow has aproblm it cann,t bleast feed their young one what can i do. Reply Q435 followed by your response. optout stop 6333
5th row	Q WHAT IS THE CORRECT AMOUNT OF A SIX ACRE LAND -FERTILIZER.

Value	Count	Frequency (%)
q	217145	3.8%
to	171446	3.0%
i	168847	2.9%
is	163195	2.8%
the	157227	2.7%
of	152917	2.7%
what	129821	2.3%
in	126044	2.2%
can	117963	2.1%
how	104824	1.8%
Other values (135304)	4222701	73.7%

Most occurring characters

Value	Count	Frequency (%)
	5379160	18.2%
e	2246938	7.6%
a	1950351	6.6%
t	1726840	5.8%
o	1650091	5.6%
i	1488872	5.0%
n	1383858	4.7%
s	1315173	4.5%
r	1085219	3.7%
h	1038311	3.5%
Other values (129)	10272799	34.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	29537612	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	5379160	18.2%
e	2246938	7.6%
a	1950351	6.6%
t	1726840	5.8%
o	1650091	5.6%
i	1488872	5.0%
n	1383858	4.7%
s	1315173	4.5%
r	1085219	3.7%
h	1038311	3.5%
Other values (129)	10272799	34.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	29537612	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	5379160	18.2%
e	2246938	7.6%
a	1950351	6.6%
t	1726840	5.8%
o	1650091	5.6%
i	1488872	5.0%
n	1383858	4.7%
s	1315173	4.5%
r	1085219	3.7%
h	1038311	3.5%
Other values (129)	10272799	34.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	29537612	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	5379160	18.2%
e	2246938	7.6%
a	1950351	6.6%
t	1726840	5.8%
o	1650091	5.6%
i	1488872	5.0%
n	1383858	4.7%
s	1315173	4.5%
r	1085219	3.7%
h	1038311	3.5%
Other values (129)	10272799	34.8%

question_topic
Text

Missing

Distinct	147
Distinct (%)	< 0.1%
Missing	67186
Missing (%)	13.4%
Memory size	31.8 MiB

Length

Max length	18
Median length	16
Mean length	5.7172758
Min length	3

Characters and Unicode

Total characters	2474517
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	poultry
2nd row	banana
3rd row	cabbage
4th row	cattle
5th row	cattle

Value	Count	Frequency (%)
cattle	48109	11.1%
maize	46682	10.8%
chicken	43856	10.1%
plant	39383	9.1%
tomato	24043	5.6%
crop	23050	5.3%
bean	17287	4.0%
banana	13485	3.1%
pig	12413	2.9%
poultry	11662	2.7%
Other values (137)	152844	35.3%

Most occurring characters

Value	Count	Frequency (%)
a	353038	14.3%
t	280987	11.4%
e	269351	10.9%
c	202093	8.2%
n	179027	7.2%
o	165524	6.7%
i	156507	6.3%
l	140340	5.7%
p	123988	5.0%
m	94476	3.8%
Other values (17)	509186	20.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2474517	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	353038	14.3%
t	280987	11.4%
e	269351	10.9%
c	202093	8.2%
n	179027	7.2%
o	165524	6.7%
i	156507	6.3%
l	140340	5.7%
p	123988	5.0%
m	94476	3.8%
Other values (17)	509186	20.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2474517	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	353038	14.3%
t	280987	11.4%
e	269351	10.9%
c	202093	8.2%
n	179027	7.2%
o	165524	6.7%
i	156507	6.3%
l	140340	5.7%
p	123988	5.0%
m	94476	3.8%
Other values (17)	509186	20.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2474517	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	353038	14.3%
t	280987	11.4%
e	269351	10.9%
c	202093	8.2%
n	179027	7.2%
o	165524	6.7%
i	156507	6.3%
l	140340	5.7%
p	123988	5.0%
m	94476	3.8%
Other values (17)	509186	20.6%

question_sent
Date

Distinct	428132
Distinct (%)	85.6%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Minimum	2017-11-22 12:25:18+00:00
Maximum	2022-04-07 13:24:35.649166+00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

response_id
Real number (ℝ)

High correlation

Distinct	491737
Distinct (%)	98.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27465654

Minimum	3849219
Maximum	59257380
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	3849219
5-th percentile	6603242.7
Q1	14314404
median	23844892
Q3	40725535
95-th percentile	56302021
Maximum	59257380
Range	55408161
Interquartile range (IQR)	26411132

Descriptive statistics

Standard deviation	15711650
Coefficient of variation (CV)	0.57204719
Kurtosis	-1.0220912
Mean	27465654
Median Absolute Deviation (MAD)	11996184
Skewness	0.43113889
Sum	1.3732827 × 10¹³
Variance	2.4685595 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23509139	8	< 0.1%
19640035	8	< 0.1%
34384903	6	< 0.1%
42879592	6	< 0.1%
14162212	5	< 0.1%
14765080	5	< 0.1%
20386848	5	< 0.1%
16368368	5	< 0.1%
15379916	5	< 0.1%
22681354	5	< 0.1%
Other values (491727)	499942	> 99.9%

Value	Count	Frequency (%)
3849219	1	< 0.1%
3850720	1	< 0.1%
3851694	1	< 0.1%
3852551	1	< 0.1%
3853336	1	< 0.1%
3853338	1	< 0.1%
3853616	1	< 0.1%
3853651	1	< 0.1%
3853782	1	< 0.1%
3853892	1	< 0.1%

Value	Count	Frequency (%)
59257380	1	< 0.1%
59256603	1	< 0.1%
59255894	1	< 0.1%
59254746	1	< 0.1%
59254680	1	< 0.1%
59254610	1	< 0.1%
59254589	1	< 0.1%
59254451	1	< 0.1%
59254281	1	< 0.1%
59254274	1	< 0.1%

response_user_id
Real number (ℝ)

High correlation

Distinct	154989
Distinct (%)	31.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1352732.7

Minimum	20
Maximum	3830610
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	20
5-th percentile	96341
Q1	651207
median	1171500
Q3	1943918
95-th percentile	3186456.4
Maximum	3830610
Range	3830590
Interquartile range (IQR)	1292711

Descriptive statistics

Standard deviation	926721.66
Coefficient of variation (CV)	0.68507373
Kurtosis	-0.38490513
Mean	1352732.7
Median Absolute Deviation (MAD)	652556
Skewness	0.65113542
Sum	6.7636637 × 10¹¹
Variance	8.5881304 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1364605	950	0.2%
3413249	789	0.2%
367428	552	0.1%
1254217	450	0.1%
3065420	448	0.1%
202949	391	0.1%
1149700	387	0.1%
478338	384	0.1%
1053962	379	0.1%
1151861	357	0.1%
Other values (154979)	494913	99.0%

Value	Count	Frequency (%)
20	5	< 0.1%
26	2	< 0.1%
29	19	< 0.1%
32	2	< 0.1%
88	18	< 0.1%
92	3	< 0.1%
95	4	< 0.1%
120	2	< 0.1%
122	3	< 0.1%
142	2	< 0.1%

Value	Count	Frequency (%)
3830610	1	< 0.1%
3828425	4	< 0.1%
3812531	2	< 0.1%
3810614	1	< 0.1%
3798850	1	< 0.1%
3793014	1	< 0.1%
3775715	1	< 0.1%
3774477	4	< 0.1%
3768199	1	< 0.1%
3756523	1	< 0.1%

response_language
Categorical

Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	32.4 MiB

eng	481057
swa	16273
lug	1351
nyn	1316
spa	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1500000
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	eng
2nd row	eng
3rd row	eng
4th row	eng
5th row	eng

Common Values

Value	Count	Frequency (%)
eng	481057	96.2%
swa	16273	3.3%
lug	1351	0.3%
nyn	1316	0.3%
spa	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
eng	481057	96.2%
swa	16273	3.3%
lug	1351	0.3%
nyn	1316	0.3%
spa	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
n	483689	32.2%
g	482408	32.2%
e	481057	32.1%
s	16276	1.1%
a	16276	1.1%
w	16273	1.1%
l	1351	0.1%
u	1351	0.1%
y	1316	0.1%
p	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1500000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	483689	32.2%
g	482408	32.2%
e	481057	32.1%
s	16276	1.1%
a	16276	1.1%
w	16273	1.1%
l	1351	0.1%
u	1351	0.1%
y	1316	0.1%
p	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1500000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	483689	32.2%
g	482408	32.2%
e	481057	32.1%
s	16276	1.1%
a	16276	1.1%
w	16273	1.1%
l	1351	0.1%
u	1351	0.1%
y	1316	0.1%
p	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1500000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	483689	32.2%
g	482408	32.2%
e	481057	32.1%
s	16276	1.1%
a	16276	1.1%
w	16273	1.1%
l	1351	0.1%
u	1351	0.1%
y	1316	0.1%
p	3	< 0.1%

response_content
Text

Distinct	479494
Distinct (%)	95.9%
Missing	0
Missing (%)	0.0%
Memory size	54.1 MiB

Length

Max length	935
Median length	703
Mean length	47.799758
Min length	1

Characters and Unicode

Total characters	23899879
Distinct characters	153
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	467424 ?
Unique (%)	93.5%

Sample

1st row	Vaccinate against foul pox and coccidiosis
2nd row	Q108 Yes In Bushenyi District
3rd row	Q129 Just like sukumawiki, cabbages take the same process to plant.
4th row	At fast provide bucket feeding and consult the veterinary.
5th row	Q856 60KGS

Value	Count	Frequency (%)
the	118077	2.8%
and	89218	2.1%
of	84517	2.0%
to	79881	1.9%
is	68289	1.6%
in	59594	1.4%
it	53705	1.3%
a	44629	1.0%
you	37964	0.9%
for	33488	0.8%
Other values (284471)	3591439	84.3%

Most occurring characters

Value	Count	Frequency (%)
	3861932	16.2%
e	1863114	7.8%
a	1407386	5.9%
t	1286787	5.4%
o	1176913	4.9%
i	1128189	4.7%
n	1123922	4.7%
s	1050551	4.4%
r	982996	4.1%
l	646189	2.7%
Other values (143)	9371900	39.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	23899879	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	3861932	16.2%
e	1863114	7.8%
a	1407386	5.9%
t	1286787	5.4%
o	1176913	4.9%
i	1128189	4.7%
n	1123922	4.7%
s	1050551	4.4%
r	982996	4.1%
l	646189	2.7%
Other values (143)	9371900	39.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	23899879	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	3861932	16.2%
e	1863114	7.8%
a	1407386	5.9%
t	1286787	5.4%
o	1176913	4.9%
i	1128189	4.7%
n	1123922	4.7%
s	1050551	4.4%
r	982996	4.1%
l	646189	2.7%
Other values (143)	9371900	39.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	23899879	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	3861932	16.2%
e	1863114	7.8%
a	1407386	5.9%
t	1286787	5.4%
o	1176913	4.9%
i	1128189	4.7%
n	1123922	4.7%
s	1050551	4.4%
r	982996	4.1%
l	646189	2.7%
Other values (143)	9371900	39.2%

response_topic
Text

Missing

Distinct	148
Distinct (%)	0.1%
Missing	328854
Missing (%)	65.8%
Memory size	24.1 MiB

Length

Max length	18
Median length	16
Mean length	5.6520748
Min length	3

Characters and Unicode

Total characters	967330
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	plant
2nd row	maize
3rd row	wheat
4th row	wheat
5th row	plant

Value	Count	Frequency (%)
plant	21003	12.3%
chicken	15604	9.1%
cattle	14587	8.5%
maize	13128	7.7%
crop	11732	6.9%
animal	7933	4.6%
bean	7068	4.1%
tomato	5066	3.0%
banana	4491	2.6%
potato	3801	2.2%
Other values (138)	66733	39.0%

Most occurring characters

Value	Count	Frequency (%)
a	139190	14.4%
e	100536	10.4%
t	96685	10.0%
n	78002	8.1%
c	76303	7.9%
l	62330	6.4%
i	59239	6.1%
o	57711	6.0%
p	55518	5.7%
r	40145	4.2%
Other values (17)	201671	20.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	967330	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	139190	14.4%
e	100536	10.4%
t	96685	10.0%
n	78002	8.1%
c	76303	7.9%
l	62330	6.4%
i	59239	6.1%
o	57711	6.0%
p	55518	5.7%
r	40145	4.2%
Other values (17)	201671	20.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	967330	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	139190	14.4%
e	100536	10.4%
t	96685	10.0%
n	78002	8.1%
c	76303	7.9%
l	62330	6.4%
i	59239	6.1%
o	57711	6.0%
p	55518	5.7%
r	40145	4.2%
Other values (17)	201671	20.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	967330	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	139190	14.4%
e	100536	10.4%
t	96685	10.0%
n	78002	8.1%
c	76303	7.9%
l	62330	6.4%
i	59239	6.1%
o	57711	6.0%
p	55518	5.7%
r	40145	4.2%
Other values (17)	201671	20.8%

response_sent
Date

Distinct	491721
Distinct (%)	98.3%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Minimum	2017-11-22 12:28:53+00:00
Maximum	2022-04-24 09:51:30.725947+00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

question_user_type
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.9 MiB

farmer	500000

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	3000000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	farmer
2nd row	farmer
3rd row	farmer
4th row	farmer
5th row	farmer

Common Values

Value	Count	Frequency (%)
farmer	500000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
farmer	500000	100.0%

Most occurring characters

Value	Count	Frequency (%)
r	1000000	33.3%
f	500000	16.7%
a	500000	16.7%
m	500000	16.7%
e	500000	16.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3000000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	1000000	33.3%
f	500000	16.7%
a	500000	16.7%
m	500000	16.7%
e	500000	16.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3000000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	1000000	33.3%
f	500000	16.7%
a	500000	16.7%
m	500000	16.7%
e	500000	16.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3000000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	1000000	33.3%
f	500000	16.7%
a	500000	16.7%
m	500000	16.7%
e	500000	16.7%

question_user_status
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.4 MiB

live	316883
zombie	109953
destroyed	45890
blocked	27274

Length

Max length	9
Median length	4
Mean length	5.062356
Min length	4

Characters and Unicode

Total characters	2531178
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	zombie
2nd row	live
3rd row	live
4th row	zombie
5th row	zombie

Common Values

Value	Count	Frequency (%)
live	316883	63.4%
zombie	109953	22.0%
destroyed	45890	9.2%
blocked	27274	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
live	316883	63.4%
zombie	109953	22.0%
destroyed	45890	9.2%
blocked	27274	5.5%

Most occurring characters

Value	Count	Frequency (%)
e	545890	21.6%
i	426836	16.9%
l	344157	13.6%
v	316883	12.5%
o	183117	7.2%
b	137227	5.4%
d	119054	4.7%
z	109953	4.3%
m	109953	4.3%
s	45890	1.8%
Other values (5)	192218	7.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2531178	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	545890	21.6%
i	426836	16.9%
l	344157	13.6%
v	316883	12.5%
o	183117	7.2%
b	137227	5.4%
d	119054	4.7%
z	109953	4.3%
m	109953	4.3%
s	45890	1.8%
Other values (5)	192218	7.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2531178	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	545890	21.6%
i	426836	16.9%
l	344157	13.6%
v	316883	12.5%
o	183117	7.2%
b	137227	5.4%
d	119054	4.7%
z	109953	4.3%
m	109953	4.3%
s	45890	1.8%
Other values (5)	192218	7.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2531178	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	545890	21.6%
i	426836	16.9%
l	344157	13.6%
v	316883	12.5%
o	183117	7.2%
b	137227	5.4%
d	119054	4.7%
z	109953	4.3%
m	109953	4.3%
s	45890	1.8%
Other values (5)	192218	7.6%

question_user_country_code
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 MiB

ke	313338
ug	186641
gb	21

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1000000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ug
2nd row	ug
3rd row	ke
4th row	ug
5th row	ke

Common Values

Value	Count	Frequency (%)
ke	313338	62.7%
ug	186641	37.3%
gb	21	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ke	313338	62.7%
ug	186641	37.3%
gb	21	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
k	313338	31.3%
e	313338	31.3%
g	186662	18.7%
u	186641	18.7%
b	21	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1000000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
k	313338	31.3%
e	313338	31.3%
g	186662	18.7%
u	186641	18.7%
b	21	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1000000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
k	313338	31.3%
e	313338	31.3%
g	186662	18.7%
u	186641	18.7%
b	21	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1000000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
k	313338	31.3%
e	313338	31.3%
g	186662	18.7%
u	186641	18.7%
b	21	< 0.1%

question_user_gender
Categorical

Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	480094
Missing (%)	96.0%
Memory size	34.3 MiB

male	15903
female	4003

Length

Max length	6
Median length	4
Mean length	4.4021903
Min length	4

Characters and Unicode

Total characters	87630
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	female
3rd row	male
4th row	male
5th row	male

Common Values

Value	Count	Frequency (%)
male	15903	3.2%
female	4003	0.8%
(Missing)	480094	96.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	15903	79.9%
female	4003	20.1%

Most occurring characters

Value	Count	Frequency (%)
e	23909	27.3%
m	19906	22.7%
a	19906	22.7%
l	19906	22.7%
f	4003	4.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	87630	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	23909	27.3%
m	19906	22.7%
a	19906	22.7%
l	19906	22.7%
f	4003	4.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	87630	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	23909	27.3%
m	19906	22.7%
a	19906	22.7%
l	19906	22.7%
f	4003	4.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	87630	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	23909	27.3%
m	19906	22.7%
a	19906	22.7%
l	19906	22.7%
f	4003	4.6%

question_user_dob
Date

Missing

Distinct	6936
Distinct (%)	18.6%
Missing	462710
Missing (%)	92.5%
Memory size	7.6 MiB

Minimum	1917-12-07 00:00:00
Maximum	2020-08-27 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

question_user_created_at
Date

Distinct	185859
Distinct (%)	37.2%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Minimum	2014-11-27 16:15:53+00:00
Maximum	2022-03-26 11:57:31.241786+00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

response_user_type
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.9 MiB

farmer	500000

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	3000000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	farmer
2nd row	farmer
3rd row	farmer
4th row	farmer
5th row	farmer

Common Values

Value	Count	Frequency (%)
farmer	500000	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
farmer	500000	100.0%

Most occurring characters

Value	Count	Frequency (%)
r	1000000	33.3%
f	500000	16.7%
a	500000	16.7%
m	500000	16.7%
e	500000	16.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3000000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	1000000	33.3%
f	500000	16.7%
a	500000	16.7%
m	500000	16.7%
e	500000	16.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3000000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	1000000	33.3%
f	500000	16.7%
a	500000	16.7%
m	500000	16.7%
e	500000	16.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3000000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	1000000	33.3%
f	500000	16.7%
a	500000	16.7%
m	500000	16.7%
e	500000	16.7%

response_user_status
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.4 MiB

live	332948
zombie	83199
destroyed	61325
blocked	22528

Length

Max length	9
Median length	4
Mean length	5.081214
Min length	4

Characters and Unicode

Total characters	2540607
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	zombie
2nd row	live
3rd row	live
4th row	zombie
5th row	live

Common Values

Value	Count	Frequency (%)
live	332948	66.6%
zombie	83199	16.6%
destroyed	61325	12.3%
blocked	22528	4.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
live	332948	66.6%
zombie	83199	16.6%
destroyed	61325	12.3%
blocked	22528	4.5%

Most occurring characters

Value	Count	Frequency (%)
e	561325	22.1%
i	416147	16.4%
l	355476	14.0%
v	332948	13.1%
o	167052	6.6%
d	145178	5.7%
b	105727	4.2%
z	83199	3.3%
m	83199	3.3%
s	61325	2.4%
Other values (5)	229031	9.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2540607	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	561325	22.1%
i	416147	16.4%
l	355476	14.0%
v	332948	13.1%
o	167052	6.6%
d	145178	5.7%
b	105727	4.2%
z	83199	3.3%
m	83199	3.3%
s	61325	2.4%
Other values (5)	229031	9.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2540607	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	561325	22.1%
i	416147	16.4%
l	355476	14.0%
v	332948	13.1%
o	167052	6.6%
d	145178	5.7%
b	105727	4.2%
z	83199	3.3%
m	83199	3.3%
s	61325	2.4%
Other values (5)	229031	9.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2540607	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	561325	22.1%
i	416147	16.4%
l	355476	14.0%
v	332948	13.1%
o	167052	6.6%
d	145178	5.7%
b	105727	4.2%
z	83199	3.3%
m	83199	3.3%
s	61325	2.4%
Other values (5)	229031	9.0%

response_user_country_code
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 MiB

ke	313338
ug	186641
gb	21

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1000000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ug
2nd row	ug
3rd row	ke
4th row	ug
5th row	ke

Common Values

Value	Count	Frequency (%)
ke	313338	62.7%
ug	186641	37.3%
gb	21	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ke	313338	62.7%
ug	186641	37.3%
gb	21	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
k	313338	31.3%
e	313338	31.3%
g	186662	18.7%
u	186641	18.7%
b	21	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1000000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
k	313338	31.3%
e	313338	31.3%
g	186662	18.7%
u	186641	18.7%
b	21	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1000000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
k	313338	31.3%
e	313338	31.3%
g	186662	18.7%
u	186641	18.7%
b	21	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1000000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
k	313338	31.3%
e	313338	31.3%
g	186662	18.7%
u	186641	18.7%
b	21	< 0.1%

response_user_gender
Categorical

Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	466152
Missing (%)	93.2%
Memory size	34.2 MiB

male	28615
female	5233

Length

Max length	6
Median length	4
Mean length	4.3092059
Min length	4

Characters and Unicode

Total characters	145858
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	male
3rd row	male
4th row	female
5th row	male

Common Values

Value	Count	Frequency (%)
male	28615	5.7%
female	5233	1.0%
(Missing)	466152	93.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	28615	84.5%
female	5233	15.5%

Most occurring characters

Value	Count	Frequency (%)
e	39081	26.8%
m	33848	23.2%
a	33848	23.2%
l	33848	23.2%
f	5233	3.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	145858	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	39081	26.8%
m	33848	23.2%
a	33848	23.2%
l	33848	23.2%
f	5233	3.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	145858	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	39081	26.8%
m	33848	23.2%
a	33848	23.2%
l	33848	23.2%
f	5233	3.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	145858	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	39081	26.8%
m	33848	23.2%
a	33848	23.2%
l	33848	23.2%
f	5233	3.6%

response_user_dob
Date

Missing

Distinct	8157
Distinct (%)	15.7%
Missing	447888
Missing (%)	89.6%
Memory size	7.6 MiB

Minimum	1917-12-07 00:00:00
Maximum	2020-09-07 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

response_user_created_at
Date

Distinct	153536
Distinct (%)	30.7%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Minimum	2014-11-28 08:05:19+00:00
Maximum	2022-04-01 08:30:14.960459+00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Interactions

Correlations

	question_id	question_user_country_code	question_user_gender	question_user_id	question_user_status	response_id	response_language	response_user_country_code	response_user_gender	response_user_id	response_user_status
question_id	1.000	0.166	0.112	0.662	0.282	0.992	0.021	0.166	0.070	0.625	0.254
question_user_country_code	0.166	1.000	0.008	0.157	0.212	0.167	0.293	1.000	0.025	0.170	0.193
question_user_gender	0.112	0.008	1.000	0.122	0.072	0.109	0.000	0.008	0.000	0.067	0.043
question_user_id	0.662	0.157	0.122	1.000	0.200	0.657	0.016	0.157	0.060	0.433	0.188
question_user_status	0.282	0.212	0.072	0.200	1.000	0.281	0.031	0.212	0.022	0.193	0.136
response_id	0.992	0.167	0.109	0.657	0.281	1.000	0.023	0.167	0.069	0.622	0.257
response_language	0.021	0.293	0.000	0.016	0.031	0.023	1.000	0.293	0.011	0.027	0.028
response_user_country_code	0.166	1.000	0.008	0.157	0.212	0.167	0.293	1.000	0.025	0.170	0.193
response_user_gender	0.070	0.025	0.000	0.060	0.022	0.069	0.011	0.025	1.000	0.131	0.042
response_user_id	0.625	0.170	0.067	0.433	0.193	0.622	0.027	0.170	0.131	1.000	0.170
response_user_status	0.254	0.193	0.043	0.188	0.136	0.257	0.028	0.193	0.042	0.170	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	question_id	question_user_id	question_language	question_content	question_topic	question_sent	response_id	response_user_id	response_language	response_content	response_topic	response_sent	question_user_type	question_user_status	question_user_country_code	question_user_gender	question_user_dob	question_user_created_at	response_user_type	response_user_status	response_user_country_code	response_user_gender	response_user_dob	response_user_created_at
7125941	29239575	2341184	eng	Q What vaccine can I use for my two weeks poultry	poultry	2019-07-29 14:48:41.696704+00	29246834	1917051	eng	Vaccinate against foul pox and coccidiosis	None	2019-07-29 16:04:14.54143+00	farmer	zombie	ug	None	None	2019-07-29 14:45:56.686123+00	farmer	zombie	ug	None	None	2019-02-25 16:57:44.433512+00
2337096	12064070	1082751	eng	Do we have banana hybrid in Uganda	banana	2018-09-26 14:47:57.686568+00	12064864	757555	eng	Q108 Yes In Bushenyi District	None	2018-09-26 14:52:22.698027+00	farmer	live	ug	None	None	2018-08-20 09:45:55.096378+00	farmer	live	ug	None	None	2018-03-31 06:18:55.66669+00
1168002	8586012	1061566	eng	Q hoW TO PLANT CABBAGE	cabbage	2018-08-11 12:05:42.179556+00	8586256	472714	eng	Q129 Just like sukumawiki, cabbages take the same process to plant.	plant	2018-08-11 12:11:01.808037+00	farmer	live	ke	None	None	2018-08-11 12:03:23.067669+00	farmer	live	ke	None	None	2017-10-26 17:47:11+00
4705029	18949097	1041893	eng	Dononzio asks: my cow has aproblm it cann,t bleast feed their young one what can i do. Reply Q435 followed by your response.\n\noptout stop 6333	cattle	2018-12-12 11:25:23.516055+00	19056212	1492749	eng	At fast provide bucket feeding and consult the veterinary.	None	2018-12-13 07:36:03.201454+00	farmer	zombie	ug	None	None	2018-08-07 09:45:11.23247+00	farmer	zombie	ug	None	None	2018-11-16 22:29:47.964895+00
6966053	28086743	2260122	eng	Q WHAT IS THE CORRECT AMOUNT OF A SIX ACRE LAND -FERTILIZER.	None	2019-07-07 12:59:54.864268+00	28087909	36254	eng	Q856 60KGS	None	2019-07-07 14:06:26.08581+00	farmer	zombie	ke	None	None	2019-07-07 12:56:09.701871+00	farmer	live	ke	female	1997-07-22	2015-11-16 17:13:12+00
6875319	27698080	804559	eng	Q Other Than Fresian,jursey,borana Metion Other Names Of Cows You Know.	cattle	2019-06-27 15:34:56.701268+00	27700018	2075087	eng	Q6 Curns	None	2019-06-27 15:41:43.699797+00	farmer	live	ke	None	None	2018-04-23 11:58:50.562182+00	farmer	live	ke	None	None	2019-04-30 09:24:16.294116+00
10265148	47545944	1682932	eng	Q.Which is the most harmful disease in maize plants	maize	2020-09-29 13:56:05.573754+00	47557418	2975907	eng	Reply Q15~Wilthing of maize plants caused by stalkborer(worm),it kills the plant and finally no yield/harvest. Thank you.	maize	2020-09-29 14:54:22.84647+00	farmer	live	ke	None	None	2018-12-11 11:55:31.454405+00	farmer	live	ke	None	None	2020-03-19 17:41:30.767385+00
4182699	17493270	1294911	eng	Q, what cozes splitting ov bananas in there old stage ov development when it is ready for harvesting?	banana	2018-12-01 07:41:57.789183+00	17498791	1072318	eng	Q47 It Depends On Type Of Soil ,	None	2018-12-01 07:56:15.488265+00	farmer	destroyed	ug	None	None	2018-10-03 15:27:21.587963+00	farmer	live	ug	None	None	2018-08-15 17:41:07.330389+00
8926109	40228146	2918137	eng	Q why are leguminous preferre for green manure?	None	2020-04-13 07:47:52.876696+00	40233669	2520723	eng	Q16 they prefer in green manure becouse green it decompose slowly in the farme	None	2020-04-13 10:15:19.078848+00	farmer	live	ke	None	None	2020-02-26 08:58:02.430389+00	farmer	live	ke	None	None	2019-09-26 17:51:35.860522+00
3258067	14901360	1413665	eng	WIC TYPE OV FERTILIZER IS ADVISABLE TO APLY IN BANANA PLANTATION?	banana	2018-11-05 08:22:43.028284+00	14901715	751622	eng	Q358, use farm yard manure	None	2018-11-05 08:30:13.53201+00	farmer	zombie	ug	None	None	2018-10-31 19:21:57.323151+00	farmer	live	ug	None	None	2018-03-28 18:08:56.313601+00

	question_id	question_user_id	question_language	question_content	question_topic	question_sent	response_id	response_user_id	response_language	response_content	response_topic	response_sent	question_user_type	question_user_status	question_user_country_code	question_user_gender	question_user_dob	question_user_created_at	response_user_type	response_user_status	response_user_country_code	response_user_gender	response_user_dob	response_user_created_at
6655834	26641766	1819939	eng	Who can u cross breed chicken	chicken	2019-06-01 05:25:12.808348+00	26657283	1816786	eng	Q34 Aperson With A Good Breed	None	2019-06-01 12:19:57.960275+00	farmer	zombie	ug	None	None	2019-01-11 07:40:36.222728+00	farmer	destroyed	ug	None	None	2019-01-10 08:02:15.875999+00
5035958	20054112	1724429	eng	Diamethoade is used to treat cigar end rot in kales; cigar end rot is the rotting of kales stalks producing bad odours due to poor picking of the leaves.	kale	2018-12-28 17:08:08.67508+00	20054894	1437652	eng	Q130 so wot	None	2018-12-28 17:25:31.020792+00	farmer	live	ke	None	None	2018-12-14 09:01:30.09489+00	farmer	live	ke	None	None	2018-11-08 14:01:34.442573+00
7879254	33330157	2596524	eng	Q how can i solve a problem of tomato bright	tomato	2019-10-21 08:48:50.462447+00	33332594	1204171	eng	Q144 spray using ridomil	None	2019-10-21 10:17:44.159335+00	farmer	zombie	ug	None	None	2019-10-21 08:21:35.444754+00	farmer	live	ug	None	None	2018-09-14 09:39:13.825308+00
1130391	8467873	71917	eng	Which kind of trees that i as farmer can plant along the boundary, that may not affect my crops.	tree	2018-08-09 13:38:18.483454+00	8530618	532089	eng	Q117 THE TREES THAT U PLANT ALONG THE BOUNDARY IS SEVESEVE	tree	2018-08-10 14:15:42.750104+00	farmer	destroyed	ke	male	None	2016-05-25 04:48:04+00	farmer	live	ke	None	None	2017-11-23 17:53:59+00
11329324	55685107	3048311	eng	What is the price of Chick marsh?	chicken	2021-04-22 17:25:33.779862+00	55731585	1814926	eng	Q74 Acording to our place. 5kg=250%2C 10kg%3D500%2C 50kg%3D1200 and 90kg is 1850%2F%3D	None	2021-04-23 12:17:13.031618+00	farmer	live	ke	None	None	2020-04-16 17:59:05.407561+00	farmer	live	ke	None	None	2019-01-09 17:23:36.86069+00
7637680	31892845	1074144	eng	how is onions propagated?	onion	2019-09-19 17:40:07.178611+00	31896831	1573372	eng	By seed and later seedlings	None	2019-09-19 17:54:18.607449+00	farmer	zombie	ug	None	None	2018-08-15 19:56:54.121329+00	farmer	live	ug	None	None	2018-11-30 13:07:10.180261+00
7450108	30813613	2300714	eng	Weldon Q Give me types of grass good for dairy cows,good for protains,vitamins?	grass	2019-08-29 16:32:09.003019+00	30813965	92215	eng	Q147 Lucerne,brachiari,boma rodes,Napier grass,gloves,	napier-grass	2019-08-29 16:34:08.091048+00	farmer	live	ke	None	None	2019-07-18 17:20:14.52606+00	farmer	live	ke	male	1990-01-15	2016-09-12 04:51:14+00
9618448	44186503	2155417	eng	What crop can i grow and earn income within this holiday and tell me the possible methods to use ?	crop	2020-07-03 17:48:33.54539+00	44346481	2047285	eng	Q89 Cabbage	cabbage	2020-07-07 16:55:05.879693+00	farmer	live	ug	None	None	2019-05-26 17:47:13.214765+00	farmer	live	ug	None	None	2019-04-16 11:49:35.598023+00
7761108	32482789	555688	eng	Everline asks: Is there any way I can boost my flowering beans after a heavy downpour of hailstones??? Reply Q471 followed by your response.	bean	2019-09-29 16:26:38.978063+00	32483333	2149257	eng	Q8,use forliar fertilizer	None	2019-09-29 16:30:47.754327+00	farmer	zombie	ke	None	None	2017-11-30 17:22:06+00	farmer	destroyed	ke	None	None	2019-05-23 17:29:12.86036+00
5649689	22267914	475244	eng	HOW CAN I KEEP THEM FROM DENGERS.	None	2019-03-06 04:40:04.794134+00	22275907	638307	eng	Q185 by use of techinical know how makernizms to protect the may come problem.	None	2019-03-06 09:27:56.944099+00	farmer	destroyed	ug	None	None	2017-10-28 10:20:48+00	farmer	live	ug	None	None	2018-01-23 17:52:20+00

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block